AI/ML Engineer

Position: AI/ML Engineer Location: London, UK (Hybrid Role) Position Type: Outside IR35 Required Qualifications • 7+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertise. • Hands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration. • Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.) • Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow; solid understanding of software engineering fundamentals and secure development. • Experience with AI agent frameworks and MCP; familiarity with agent observability (LangSmith/LangFuse) and agentic RAG patterns • Track record of delivering scalable, production AI systems and collaborating across teams. • Experience with agent frameworks (AutoGen, CrewAI), tool-use ecosystems, and advanced planning/reasoning strategies. • Knowledge of cloud platforms (AWS), MLOps, and data pipelines; React.js familiarity is a plus. • Exposure to enterprise environments and secure, compliant deployments. Key Skills • Programming: Python; backend APIs (FastAPI) • AI/ML: ML/NLP, generative AI, embeddings, model evaluation • Frameworks: LangChain, LangGraph; plus LlamaIndex, PyTorch, TensorFlow, MLflow • Architectures: RAG, Transformers, OCR • Agents: Design and orchestration, memory/state management, tool integration; MCP and agent-to-agent protocols • Observability: LangSmith/LangFuse for agent monitoring